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    {
      "cell_type": "code",
      "execution_count": null,
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      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# The Digit Dataset\n\n\nThis dataset is made up of 1797 8x8 images. Each image,\nlike the one shown below, is of a hand-written digit.\nIn order to utilize an 8x8 figure like this, we'd have to\nfirst transform it into a feature vector with length 64.\n\nSee `here\n<https://archive.ics.uci.edu/ml/datasets/Pen-Based+Recognition+of+Handwritten+Digits>`_\nfor more information about this dataset.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "print(__doc__)\n\n\n# Code source: Ga\u00ebl Varoquaux\n# Modified for documentation by Jaques Grobler\n# License: BSD 3 clause\n\nfrom sklearn import datasets\n\nimport matplotlib.pyplot as plt\n\n#Load the digits dataset\ndigits = datasets.load_digits()\n\n#Display the first digit\nplt.figure(1, figsize=(3, 3))\nplt.imshow(digits.images[-1], cmap=plt.cm.gray_r, interpolation='nearest')\nplt.show()"
      ]
    }
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